The short answer is ... because it was from Nabble.
The longer answer is that the filters needed to be tightened on Nabble
postings because of a an autobot spammer and the moderation queue was
being swamped with cases.
If you send your questions as email (from your email client) to r-help@r-project.org
you should have fewer problems. (you might want to learn to post in
plain text, too.)
--
David
On Feb 1, 2013, at 7:58 PM, rachel buxton wrote:
Hi there,
Just wondering why my post was rejected?
cheers
Rachel
Subject: repeating autocovariate functions
From: r-help-ow...@r-project.org
To: moy...@hotmail.com
Date: Sat, 2 Feb 2013 02:56:27 +0100
Message rejected by filter rule match
--Forwarded Message Attachment--
Date: Fri, 1 Feb 2013 17:56:14 -0800
From: moy...@hotmail.com
To: r-help@r-project.org
Subject: repeating autocovariate functions
Hi there,
I would like to repeat an autocovariate term calculation using 30
different
neighborhood sizes. Then I would like to run a nominal logistic
regression
on the generated autocovariate values and their respective
neighborhood
sizes to see which would be most appropriate to use in the final
calculation
of my autocovariate term.
I have a matrix of x,y values:
x y
174.7173 -35.967
174.7166 -35.9649
174.7174 -35.968
174.7418 -35.9678
174.741 -35.9672
174.7395 -35.9671
(and 150 more)
To calculate the autocovariate terms my code is as follows:
library(spdep)
Taranga <- read.csv(file.choose()) #contains xy coordinates
xy <- cbind(Taranga$x, Taranga$y)
acinvb <- autocov_dist(Taranga$burrows.pa, xy, nbs=1,zero.policy =
TRUE,
type="inverse")
datfrm <- data.frame(autocov=acinvb, nbs=1)
write.table(dfrm, file = 'results.csv',sep=",",row.names = FALSE)
acinva <- autocov_dist(Taranga$burrows.pa, xy, nbs=100,zero.policy =
TRUE,
type="inverse")
dfrm <-data.frame(autocov=acinva, nbs=100)
names(datfrm) <- NULL
write.table(datfrm, file = 'results.csv',sep=",",append=TRUE,
row.names =
FALSE, col.names=FALSE)
I want to repeat this function, each time adding 100 to "nbs"
Then I will run a model from the resulting "results.csv"
thanks in advance for any insight!
Rachel
--
View this message in context:
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Sent from the R help mailing list archive at Nabble.com.
David Winsemius, MD
Alameda, CA, USA
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